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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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Lsposed Modules Updates Tracker

@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM

#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot